title: An analytical platform for cumulative impact assessment based on multiple futures: the impact of petroleum drilling and forest harvesting on moose (Alces alces) and marten (Martes americana) habitats in northeastern British Columbia.
abstract: The combined influence on the environment of all projects occurring in a single area is evaluated through cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. Traditionally, future human activities are included in CIA using an analytical platform, commonly based on complex models that supply precise predictions but with reduced accuracy. To compensate for the lack of accuracy in current CIA approaches, we propose a shift in the paradigm governing CIA. The paradigm shift involves a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of the patterns describing multiple potential future changes in the environment. To illustrate the approach, a set of 144 possible and equally likely futures were developed that aimed to identify the potential impacts of forest harvesting and petroleum drilling on the habitat suitability of moose and marten in northeast British Columbia, Canada. The evolution of two measures of habitat suitability (average habitat suitability index and surface of the stands with habitat suitability index >0.5) revealed that the human activities could induce cycles in the habitat dynamics of moose and marten. The planning period of 100 years was separated into three distinct periods following a sinusoidal pattern (i.e., increase - constant - decrease in the habitat suitability measures). The attributes that could induce significant changes in the assessment of environment are the choice of harvesting age and species.
authors.affiliation: Louisiana Tech University, 201-1201 Reese Dr., Ruston, LA 71272, USA. strimbu@latech.edu
authors.forename: Bogdan
authors.initials: B
authors.lastname: Strimbu
authors.forename: John
authors.initials: J
authors.lastname: Innes
mesh_terms: D000818:Animals; D001955:British Columbia; D003670:Deer / Q000502:physiology*; D017753:Ecosystem; D004777:Environment; D019652:Extraction and Processing Industry; D005544:Forecasting / Q000379:methods*; D016468:Forestry; D008962:Models, Theoretical; D045969:Mustelidae / Q000502:physiology*; D010578:Petroleum
chemical_list: D010578:Petroleum